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Ma J, Gu Y, Liu J, Song J, Zhou T, Jiang M, Wen Y, Guo X, Zhou Z, Sha J, He J, Hu Z, Luo L, Liu M. Functional screening of congenital heart disease risk loci identifies 5 genes essential for heart development in zebrafish. Cell Mol Life Sci 2022; 80:19. [PMID: 36574072 PMCID: PMC11073085 DOI: 10.1007/s00018-022-04669-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Revised: 12/09/2022] [Accepted: 12/10/2022] [Indexed: 12/28/2022]
Abstract
Congenital heart disease (CHD) is the most common birth defect worldwide and a main cause of perinatal and infant mortality. Our previous genome-wide association study identified 53 SNPs that associated with CHD in the Han Chinese population. Here, we performed functional screening of 27 orthologous genes in zebrafish using injection of antisense morpholino oligos. From this screen, 5 genes were identified as essential for heart development, including iqgap2, ptprt, ptpn22, tbck and maml3. Presumptive roles of the novel CHD-related genes include heart chamber formation (iqgap2 and ptprt) and atrioventricular canal formation (ptpn22 and tbck). While deficiency of maml3 led to defective cardiac trabeculation and consequent heart failure in zebrafish embryos. Furthermore, we found that maml3 mutants showed decreased cardiomyocyte proliferation which caused a reduction in cardiac trabeculae due to inhibition of Notch signaling. Together, our study identifies 5 novel CHD-related genes that are essential for heart development in zebrafish and first demonstrates that maml3 is required for Notch signaling in vivo.
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Affiliation(s)
- Jianlong Ma
- Institute of Developmental Biology and Regenerative Medicine, Southwest University, Chongqing, 400715, China
| | - Yayun Gu
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211100, China
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211100, China
| | - Juanjuan Liu
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211100, China
- Department of Histology and Embryology, Nanjing Medical University, Nanjing, 211100, China
| | - Jingmei Song
- Institute of Developmental Biology and Regenerative Medicine, Southwest University, Chongqing, 400715, China
| | - Tao Zhou
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211100, China
- Department of Histology and Embryology, Nanjing Medical University, Nanjing, 211100, China
| | - Min Jiang
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211100, China
- Department of Histology and Embryology, Nanjing Medical University, Nanjing, 211100, China
| | - Yang Wen
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211100, China
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211100, China
| | - Xuejiang Guo
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211100, China
- Department of Histology and Embryology, Nanjing Medical University, Nanjing, 211100, China
| | - Zuomin Zhou
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211100, China
- Department of Histology and Embryology, Nanjing Medical University, Nanjing, 211100, China
| | - Jiahao Sha
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211100, China
- Department of Histology and Embryology, Nanjing Medical University, Nanjing, 211100, China
| | - Jianbo He
- Institute of Developmental Biology and Regenerative Medicine, Southwest University, Chongqing, 400715, China
| | - Zhibin Hu
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211100, China
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211100, China
- Key Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing, 211100, China
| | - Lingfei Luo
- Institute of Developmental Biology and Regenerative Medicine, Southwest University, Chongqing, 400715, China.
| | - Mingxi Liu
- State Key Laboratory of Reproductive Medicine, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Nanjing, 211100, China.
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Garcia A, Dunoyer-Geindre S, Fish RJ, Neerman-Arbez M, Reny JL, Fontana P. Methods to Investigate miRNA Function: Focus on Platelet Reactivity. Thromb Haemost 2021; 121:409-421. [PMID: 33124028 PMCID: PMC8263142 DOI: 10.1055/s-0040-1718730] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 09/08/2020] [Indexed: 12/14/2022]
Abstract
MicroRNAs (miRNAs) are small noncoding RNAs modulating protein production. They are key players in regulation of cell function and are considered as biomarkers in several diseases. The identification of the proteins they regulate, and their impact on cell physiology, may delineate their role as diagnostic or prognostic markers and identify new therapeutic strategies. During the last 3 decades, development of a large panel of techniques has given rise to multiple models dedicated to the study of miRNAs. Since plasma samples are easily accessible, circulating miRNAs can be studied in clinical trials. To quantify miRNAs in numerous plasma samples, the choice of extraction and purification techniques, as well as normalization procedures, are important for comparisons of miRNA levels in populations and over time. Recent advances in bioinformatics provide tools to identify putative miRNAs targets that can then be validated with dedicated assays. In vitro and in vivo approaches aim to functionally validate candidate miRNAs from correlations and to understand their impact on cellular processes. This review describes the advantages and pitfalls of the available techniques for translational research to study miRNAs with a focus on their role in regulating platelet reactivity.
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Affiliation(s)
- Alix Garcia
- Geneva Platelet Group, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | | | - Richard J. Fish
- Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland
| | - Marguerite Neerman-Arbez
- Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland
- iGE3, Institute of Genetics and Genomics in Geneva, Geneva, Switzerland
| | - Jean-Luc Reny
- Geneva Platelet Group, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Division of General Internal Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - Pierre Fontana
- Geneva Platelet Group, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Division of Angiology and Haemostasis, Geneva University Hospitals, Geneva, Switzerland
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De Luca E, Zaccaria GM, Hadhoud M, Rizzo G, Ponzini R, Morbiducci U, Santoro MM. ZebraBeat: a flexible platform for the analysis of the cardiac rate in zebrafish embryos. Sci Rep 2014. [PMCID: PMC4790192 DOI: 10.1038/srep04898] [Citation(s) in RCA: 88] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Heartbeat measurement is important in assesssing cardiac function because variations in heart rhythm can be the cause as well as an effect of hidden pathological heart conditions. Zebrafish (Danio rerio) has emerged as one of the most useful model organisms for cardiac research. Indeed, the zebrafish heart is easily accessible for optical analyses without conducting invasive procedures and shows anatomical similarity to the human heart. In this study, we present a non-invasive, simple, cost-effective process to quantify the heartbeat in embryonic zebrafish. To achieve reproducibility, high throughput and flexibility (i.e., adaptability to any existing confocal microscope system and with a user-friendly interface that can be easily used by researchers), we implemented this method within a software program. We show here that this platform, called ZebraBeat, can successfully detect heart rate variations in embryonic zebrafish at various developmental stages, and it can record cardiac rate fluctuations induced by factors such as temperature and genetic- and chemical-induced alterations. Applications of this methodology may include the screening of chemical libraries affecting heart rhythm and the identification of heart rhythm variations in mutants from large-scale forward genetic screens.
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